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Generative AI

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Guidelines

Here we have a quick overview of different types of AI technologies to warm ourselves up. Below each definition, we have examples of these technologies to have an understanding of what features these tools have and zoom into their benefits, downsides, and alternatives to raise our awareness and/or make informed decisions. We hope these bits inform you of the logic behind these technologies and expand your horizon on how we use them nowadays.

Guidelines - Generative AI

Conversational AI

What is conversational AI?

<aside> <img src="/icons/question-mark_red.svg" alt="/icons/question-mark_red.svg" width="40px" /> Conversational AI is a branch of artificial intelligence (AI) that focuses on creating human-like interactions between computers and people. It involves using natural language processing (NLP) and machine learning (ML) algorithms to enable computers to understand and respond to spoken or written language.

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Where can we use conversational AI?

<aside> <img src="/icons/rocket_red.svg" alt="/icons/rocket_red.svg" width="40px" /> Conversational AI is widely used in various applications, including chatbots, virtual assistants, and voice assistants. Chatbots are computer programs that simulate human conversation and are used to provide customer service, answer questions, or facilitate transactions.

Customer service: Conversational AI can be used to provide instant support, answer queries, and resolve issues. For example, chatbots can use voice AI to help customers find answers to common questions or navigate through a company's website. It can also help with tasks like scheduling appointments, placing orders, and tracking deliveries. By automating routine tasks and providing 24/7 support, companies can improve customer satisfaction and reduce costs.
Sales and marketing: Conversational AI can help companies increase sales by providing personalized recommendations, answering product-related questions, and facilitating transactions.
Finance: Conversational AI can help customers manage their accounts, transfer funds, get investment advice, and track spending.
Education: Conversational AI can provide personalized learning experiences, help students with homework and projects, and provide educational support and guidance. </aside>

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Image AI

What is image AI?

<aside> <img src="/icons/question-mark_red.svg" alt="/icons/question-mark_red.svg" width="40px" /> Image AI, also known as computer vision, refers to the field of artificial intelligence that focuses on enabling machines to interpret and analyze visual data from the world around us. In other words, it involves training algorithms to recognize and make sense of images, videos, and other visual content.

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Where can we use conversational AI?

<aside> <img src="/icons/rocket_red.svg" alt="/icons/rocket_red.svg" width="40px" /> It can be used to perform a variety of tasks, including:

Object Recognition: Image AI can identify and locate specific objects within an image. This can be used in applications such as self-driving cars to detect and classify objects on the road, security systems, and product identification in retail stores to recognize products on the shelves and track inventory.
Facial Recognition: Image AI can recognize and identify human faces within an image or video. This can be used in applications such as security systems for authentication at airport security, law enforcement, border control, or healthcare for patient identification and tracking.
Image Classification: Image AI can classify images into different categories or labels. This can be used in applications such as product categorization, and content filtering, and medical diagnosis of X-rays, MRI scans, and CT scans to assist doctors in diagnosing and treating illnesses.
Image generation: This involves generating new images based on existing visual data. It is used in art and design to create new and unique designs and patterns or in video game development to create realistic environments and characters.
Image Restoration: Image AI can restore and enhance degraded or damaged images. This can be used in applications such as digital image restoration and video restoration. </aside>

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AI Transcription Services

What are AI transcription services?

<aside> <img src="/icons/question-mark_red.svg" alt="/icons/question-mark_red.svg" width="40px" /> AI transcription services are software applications that use artificial intelligence (AI) and natural language processing (NLP) algorithms to transcribe audio or video recordings into text. These services use machine learning to understand spoken language and convert it into written form. The technology is designed to be highly accurate and can transcribe a large volume of audio or video content quickly and efficiently.

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Where can we use AI transcription services?

<aside> <img src="/icons/rocket_red.svg" alt="/icons/rocket_red.svg" width="40px" /> They have numerous applications across a variety of industries and settings.

Business: AI transcription services can be used in business meetings and conferences to transcribe discussions and create meeting minutes. The transcribed content can then be used to create meeting minutes, summary reports, or other important documents. For example, a marketing team could use a transcription service to transcribe a brainstorming session to capture all the ideas that were discussed.
Education: They can be used by teachers to transcribe lectures and create written content for students to review. Teachers can use AI transcription services to transcribe their lectures and make them available for students to review. Students who miss a class or have difficulty understanding the spoken word can read the transcribed content to catch up.
Media & Entertainment: It can be used by media companies to transcribe interviews and create subtitles for videos. This makes the content more accessible to people who are hard of hearing, which allows them to read along while watching.
Legal: They can be used in legal settings to transcribe depositions, court proceedings, and interviews with witnesses. It allows them to have a written record of what was said during a case, which can be used for legal research, case preparation, and trial presentations.
Healthcare: AI transcription services can be used in the medical field to transcribe doctor-patient conversations and medical notes.
Research: They can be used in research studies to transcribe interviews with participants and record research observations. </aside>

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Written AI

What is written AI?

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Where can we use written AI?

<aside> <img src="/icons/rocket_red.svg" alt="/icons/rocket_red.svg" width="40px" /> They have numerous applications across a variety of industries and settings.

Business: AI transcription services can be used in business meetings and conferences to transcribe discussions and create meeting minutes. The transcribed content can then be used to create meeting minutes, summary reports, or other important documents. For example, a marketing team could use a transcription service to transcribe a brainstorming session to capture all the ideas that were discussed.
Education: They can be used by teachers to transcribe lectures and create written content for students to review. Teachers can use AI transcription services to transcribe their lectures and make them available for students to review. Students who miss a class or have difficulty understanding the spoken word can read the transcribed content to catch up.
Media & Entertainment: It can be used by media companies to transcribe interviews and create subtitles for videos. This makes the content more accessible to people who are hard of hearing, which allows them to read along while watching.
Legal: They can be used in legal settings to transcribe depositions, court proceedings, and interviews with witnesses. It allows them to have a written record of what was said during a case, which can be used for legal research, case preparation, and trial presentations.
Healthcare: AI transcription services can be used in the medical field to transcribe doctor-patient conversations and medical notes.
Research: They can be used in research studies to transcribe interviews with participants and record research observations. </aside>

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Other AI

What is other AI?

<aside> <img src="/icons/question-mark_red.svg" alt="/icons/question-mark_red.svg" width="40px" /> **In addition to the categories we have already covered, there are many other types of generative AI that continue to emerge and evolve. These can include various applications and use cases that may not fit into the aforementioned categories, showcasing the diverse and rapidly expanding landscape of generative AI.

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Where can we use other AI?

<aside> <img src="/icons/rocket_red.svg" alt="/icons/rocket_red.svg" width="40px" /> We want to encourage the community to share their examples of generative AI tools, classifying them on the database below. Whether it's related to synthetic data generation or any other innovative application, your contributions and insights are valuable in further understanding the breadth and depth of generative AI.

Join the conversation and share your thoughts in the comments section below!

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